ArticleScientific reports2020
State-specific projection of COVID-19 infection in the United States and evaluation of three major control measures.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- Surgical and clinical predictors of successful Hartmann reversal procedure after perforated diverticulitis.Surgical endoscopy · 2026Observational
- A Multi-Region SEIR Model Incorporating Inter-County Mobility and Time-Dependent Transmission Dynamics: Application to COVID-19 Disease Outbreak Data in North Carolina.Bulletin of mathematical biology · 2026Article
- Compliance with COVID-19 Physical Distancing Mandates in Oman: The Role of Health Literacy and Internal Health Locus of Control.Health literacy research and practice · 2024Article
- Spatio-temporal dynamic of the COVID-19 epidemic and the impact of imported cases in Rwanda.BMC public health · 2023Article
- Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics.Chaos, solitons, and fractals · 2022Article
- Impact of government policies on the COVID-19 pandemic unraveled by mathematical modelling.Scientific reports · 2022Article
- Statistical inference using GLEaM model with spatial heterogeneity and correlation between regions.Scientific reports · 2022Article
- Exploring the impact of under-reported cases on the COVID-19 spatiotemporal distributions using healthcare workers infection data.Cities (London, England) · 2022Article
- Quarantine and testing strategies to ameliorate transmission due to travel during the COVID-19 pandemic: a modelling study.The Lancet regional health. Europe · 2022Article
- Quarantine and testing strategies to ameliorate transmission due to travel during the COVID-19 pandemic: a modelling study.medRxiv : the preprint server for health sciences · 2021Article
- Effects of transport-related COVID-19 policy measures: A case study of six developed countries.Transport policy · 2021Article
- Quantifying COVID-19 importation risk in a dynamic network of domestic cities and international countries.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Post-thyroidectomy prothrombin time elevation and hematoma in a patient who received sugammadex.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2021Article
- Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Impacts of COVID-19 lockdowns and stimulus payments on low-income population's spending in the United States.PloS one · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most models of the COVID-19 pandemic in the United States do not consider geographic variation and spatial interaction. In this research, we developed a travel-network-based susceptible-exposed-infectious-removed (SEIR) mathematical compartmental model system that characterizes infections by state and incorporates inflows and outflows of interstate travelers. Modeling reveals that curbing interstate travel when the disease is already widespread will make little difference. Meanwhile, increased testing capacity (facilitating early identification of infected people and quick isolation) and strict social-distancing and self-quarantine rules are most effective in abating the outbreak. The modeling has also produced state-specific information. For example, for New York and Michigan, isolation of persons exposed to the virus needs to be imposed within 2 days to prevent a broad outbreak, whereas for other states this period can be 3.6 days. This model could be used to determine resources needed before safely lifting state policies on social distancing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.